---
_id: '61323'
author:
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
- first_name: Hendrik
full_name: Buschmeier, Hendrik
last_name: Buschmeier
- first_name: Katharina Justine
full_name: Rohlfing, Katharina Justine
id: '50352'
last_name: Rohlfing
orcid: 0000-0002-5676-8233
- first_name: Meisam
full_name: Booshehri, Meisam
last_name: Booshehri
- first_name: Angela
full_name: Grimminger, Angela
id: '57578'
last_name: Grimminger
citation:
ama: 'Wrede B, Buschmeier H, Rohlfing KJ, Booshehri M, Grimminger A. Incremental
communication. In: Rohlfing KJ, Främling K, Alpsancar S, Thommes K, Lim BY, eds.
Social Explainable AI. Springer; 2026:227-245. doi:10.1007/978-981-96-5290-7_12'
apa: Wrede, B., Buschmeier, H., Rohlfing, K. J., Booshehri, M., & Grimminger,
A. (2026). Incremental communication. In K. J. Rohlfing, K. Främling, S. Alpsancar,
K. Thommes, & B. Y. Lim (Eds.), Social Explainable AI (pp. 227–245).
Springer. https://doi.org/10.1007/978-981-96-5290-7_12
bibtex: '@inbook{Wrede_Buschmeier_Rohlfing_Booshehri_Grimminger_2026, title={Incremental
communication}, DOI={10.1007/978-981-96-5290-7_12},
booktitle={Social Explainable AI}, publisher={Springer}, author={Wrede, Britta
and Buschmeier, Hendrik and Rohlfing, Katharina Justine and Booshehri, Meisam
and Grimminger, Angela}, editor={Rohlfing, Katharina J. and Främling, Kary and
Alpsancar, Suzana and Thommes, Kirsten and Lim, Brian Y.}, year={2026}, pages={227–245}
}'
chicago: Wrede, Britta, Hendrik Buschmeier, Katharina Justine Rohlfing, Meisam Booshehri,
and Angela Grimminger. “Incremental Communication.” In Social Explainable AI,
edited by Katharina J. Rohlfing, Kary Främling, Suzana Alpsancar, Kirsten Thommes,
and Brian Y. Lim, 227–45. Springer, 2026. https://doi.org/10.1007/978-981-96-5290-7_12.
ieee: B. Wrede, H. Buschmeier, K. J. Rohlfing, M. Booshehri, and A. Grimminger,
“Incremental communication,” in Social Explainable AI, K. J. Rohlfing,
K. Främling, S. Alpsancar, K. Thommes, and B. Y. Lim, Eds. Springer, 2026, pp.
227–245.
mla: Wrede, Britta, et al. “Incremental Communication.” Social Explainable AI,
edited by Katharina J. Rohlfing et al., Springer, 2026, pp. 227–45, doi:10.1007/978-981-96-5290-7_12.
short: 'B. Wrede, H. Buschmeier, K.J. Rohlfing, M. Booshehri, A. Grimminger, in:
K.J. Rohlfing, K. Främling, S. Alpsancar, K. Thommes, B.Y. Lim (Eds.), Social
Explainable AI, Springer, 2026, pp. 227–245.'
date_created: 2025-09-17T10:16:36Z
date_updated: 2026-03-19T12:38:37Z
department:
- _id: '660'
doi: 10.1007/978-981-96-5290-7_12
editor:
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
last_name: Rohlfing
- first_name: Kary
full_name: Främling, Kary
last_name: Främling
- first_name: Suzana
full_name: Alpsancar, Suzana
last_name: Alpsancar
- first_name: Kirsten
full_name: Thommes, Kirsten
last_name: Thommes
- first_name: Brian Y.
full_name: Lim, Brian Y.
last_name: Lim
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 227-245
project:
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
- _id: '111'
name: 'TRR 318; TP A01: Adaptives Erklären'
- _id: '115'
name: 'TRR 318; TP A05: Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog'
- _id: '113'
name: TRR 318 - Subproject A3
- _id: '118'
name: 'TRR 318: Project Area INF'
publication: Social Explainable AI
publication_identifier:
eisbn:
- 978-981-96-5290-7
publication_status: epub_ahead
publisher: Springer
quality_controlled: '1'
related_material:
link:
- relation: original
url: https://link.springer.com/chapter/10.1007/978-981-96-5290-7_12
status: public
title: Incremental communication
type: book_chapter
user_id: '57578'
year: '2026'
...
---
_id: '65090'
abstract:
- lang: eng
text: "Abstract\r\n If XAI are
to become social XAI, XAI methods must have capabilities enabling them to ‘extract’
information about the underlying AI model and to generate explanatory content
based on that information. In a dialog between explainer and explainee, the explanans
presented in every explanation move have to relate to each other understandably
and coherently in order to remain trustworthy. This signifies that the generated
explanantia have to be consistent—independently of what question is answered by
each explanans, in what modality, in what vocabulary, and at what level of abstraction.
Moreover, it is advantageous to be able to provide a rich palette of different
kinds of explanantia in order to be able to have a fluent dialog in which the
explanantia can be generated and adapted to the context, the explainee, feedback,
reactions during the interaction with the explainee, and so forth. This chapter
attempts to identify relevant questions that an explainee might ask during an
explanatory dialog, and it assesses to what extent different XAI methods are capable
of addressing these questions in a coherent way. The Contextual Importance and
Utility (CIU) method is used to illustrate how an XAI method can generate explanantia
for most of the identified questions. CIU also provides a flexibility in how explanatory
content is generated that makes it possible to create a meaningful dialog with
the explainee."
author:
- first_name: Kary
full_name: Främling, Kary
last_name: Främling
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: 'Främling K, Thommes K, Wrede B. Generation of Explanatory Content and Requirements
for Social XAI. In: Social Explainable AI. Springer Nature Singapore; 2026.
doi:10.1007/978-981-96-5290-7_15'
apa: Främling, K., Thommes, K., & Wrede, B. (2026). Generation of Explanatory
Content and Requirements for Social XAI. In Social Explainable AI. Springer
Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_15
bibtex: '@inbook{Främling_Thommes_Wrede_2026, place={Singapore}, title={Generation
of Explanatory Content and Requirements for Social XAI}, DOI={10.1007/978-981-96-5290-7_15},
booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Främling,
Kary and Thommes, Kirsten and Wrede, Britta}, year={2026} }'
chicago: 'Främling, Kary, Kirsten Thommes, and Britta Wrede. “Generation of Explanatory
Content and Requirements for Social XAI.” In Social Explainable AI. Singapore:
Springer Nature Singapore, 2026. https://doi.org/10.1007/978-981-96-5290-7_15.'
ieee: 'K. Främling, K. Thommes, and B. Wrede, “Generation of Explanatory Content
and Requirements for Social XAI,” in Social Explainable AI, Singapore:
Springer Nature Singapore, 2026.'
mla: Främling, Kary, et al. “Generation of Explanatory Content and Requirements
for Social XAI.” Social Explainable AI, Springer Nature Singapore, 2026,
doi:10.1007/978-981-96-5290-7_15.
short: 'K. Främling, K. Thommes, B. Wrede, in: Social Explainable AI, Springer Nature
Singapore, Singapore, 2026.'
date_created: 2026-03-23T08:48:38Z
date_updated: 2026-03-23T08:49:08Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-981-96-5290-7_15
language:
- iso: eng
place: Singapore
project:
- _id: '113'
name: TRR 318 - Subproject A3
- _id: '125'
name: TRR 318 - Subproject C2
publication: Social Explainable AI
publication_identifier:
isbn:
- '9789819652891'
- '9789819652907'
publication_status: published
publisher: Springer Nature Singapore
status: public
title: Generation of Explanatory Content and Requirements for Social XAI
type: book_chapter
user_id: '72497'
year: '2026'
...
---
_id: '65088'
abstract:
- lang: eng
text: "Abstract\r\n Quantitatively
evaluating the benefits of eXplainable Artificial Intelligence (XAI) and social
XAI for humans is not a trivial pursuit. Therefore, we categorize the potential
measures in terms of subjective and objective outcomes and short- and long-term
outcomes of interactive social XAI. When reviewing the current state of the art,
we observed some measurement problems in the literature: (a) Researchers do not
clearly state whether they want to measure the inner state of users, users’ behavioral
response, or the overall AI-human collaborative performance. (b) Moreover, most
measures implicitly assume that all humans either do not react or improve in attitudes
or performance. Psychological reactance (feeling or doing the opposite) is usually
not captured. (c) Many researchers invent their own scale when measuring psychological
constructs, thereby jeopardizing the validity of their measures and slowing down
progress in the field, because general evidence and subsequent learning can be
achieved only by collecting many compatible pieces of evidence. (d) Most studies
look into short-term outcomes and neglect that experiences in social interactions
with XAI may evolve and have long-term outcomes not only for the individual but
also for groups or society at large."
author:
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
citation:
ama: 'Thommes K. Measuring the Outcome of sXAI. In: Social Explainable AI.
Springer Nature Singapore; 2026. doi:10.1007/978-981-96-5290-7_28'
apa: Thommes, K. (2026). Measuring the Outcome of sXAI. In Social Explainable
AI. Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_28
bibtex: '@inbook{Thommes_2026, place={Singapore}, title={Measuring the Outcome of
sXAI}, DOI={10.1007/978-981-96-5290-7_28},
booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Thommes,
Kirsten}, year={2026} }'
chicago: 'Thommes, Kirsten. “Measuring the Outcome of SXAI.” In Social Explainable
AI. Singapore: Springer Nature Singapore, 2026. https://doi.org/10.1007/978-981-96-5290-7_28.'
ieee: 'K. Thommes, “Measuring the Outcome of sXAI,” in Social Explainable AI,
Singapore: Springer Nature Singapore, 2026.'
mla: Thommes, Kirsten. “Measuring the Outcome of SXAI.” Social Explainable AI,
Springer Nature Singapore, 2026, doi:10.1007/978-981-96-5290-7_28.
short: 'K. Thommes, in: Social Explainable AI, Springer Nature Singapore, Singapore,
2026.'
date_created: 2026-03-23T08:45:05Z
date_updated: 2026-03-23T08:45:33Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-981-96-5290-7_28
language:
- iso: eng
place: Singapore
project:
- _id: '113'
name: TRR 318 - Subproject A3
- _id: '125'
name: TRR 318 - Subproject C2
publication: Social Explainable AI
publication_identifier:
isbn:
- '9789819652891'
- '9789819652907'
publication_status: published
publisher: Springer Nature Singapore
status: public
title: Measuring the Outcome of sXAI
type: book_chapter
user_id: '72497'
year: '2026'
...
---
_id: '65086'
abstract:
- lang: eng
text: "Abstract\r\n Explainable
AI (XAI) aims to make the decisions and behavior of an AI understandable to the
people interacting with it and to those affected by its outcomes. To make XAI
social, real-world XAI systems need to simulate not only the ways in which human
explainers behave within explanatory dialogs but also the ways in which such dialogs
can successfully achieve the intended understanding on the explainee’s side. This,
in turn, requires an operationalization of the three core aspects of social XAI:
multimodality, incrementality, and patterns. This chapter lays the ground for
this goal by defining a basic operational model of social interactions that can
be refined and extended to account for the specificities of any explanatory real-world
setting. This serves as a basis for summarizing and discussing existing ideas
from explainability research and related areas in order to operationalize each
core aspect. Selected examples and case studies illustrate how to concretely realize
such an operationalization, thereby serving as a starting point for future research
on social interaction with XAI."
author:
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Milad
full_name: Alshomary, Milad
last_name: Alshomary
citation:
ama: 'Wachsmuth H, Thommes K, Alshomary M. Operationalizing Social Interaction.
In: Social Explainable AI. Springer Nature Singapore; 2026. doi:10.1007/978-981-96-5290-7_27'
apa: Wachsmuth, H., Thommes, K., & Alshomary, M. (2026). Operationalizing Social
Interaction. In Social Explainable AI. Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_27
bibtex: '@inbook{Wachsmuth_Thommes_Alshomary_2026, place={Singapore}, title={Operationalizing
Social Interaction}, DOI={10.1007/978-981-96-5290-7_27},
booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Wachsmuth,
Henning and Thommes, Kirsten and Alshomary, Milad}, year={2026} }'
chicago: 'Wachsmuth, Henning, Kirsten Thommes, and Milad Alshomary. “Operationalizing
Social Interaction.” In Social Explainable AI. Singapore: Springer Nature
Singapore, 2026. https://doi.org/10.1007/978-981-96-5290-7_27.'
ieee: 'H. Wachsmuth, K. Thommes, and M. Alshomary, “Operationalizing Social Interaction,”
in Social Explainable AI, Singapore: Springer Nature Singapore, 2026.'
mla: Wachsmuth, Henning, et al. “Operationalizing Social Interaction.” Social
Explainable AI, Springer Nature Singapore, 2026, doi:10.1007/978-981-96-5290-7_27.
short: 'H. Wachsmuth, K. Thommes, M. Alshomary, in: Social Explainable AI, Springer
Nature Singapore, Singapore, 2026.'
date_created: 2026-03-23T08:42:37Z
date_updated: 2026-03-23T08:43:25Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-981-96-5290-7_27
language:
- iso: eng
place: Singapore
project:
- _id: '113'
name: TRR 318 - Subproject A3
- _id: '125'
name: TRR 318 - Subproject C2
publication: Social Explainable AI
publication_identifier:
isbn:
- '9789819652891'
- '9789819652907'
publication_status: published
publisher: Springer Nature Singapore
status: public
title: Operationalizing Social Interaction
type: book_chapter
user_id: '72497'
year: '2026'
...
---
_id: '65091'
abstract:
- lang: eng
text: "Abstract\r\n This chapter
examines key challenges and potential improvements in the areas of user interaction
and dynamic explanations. It highlights the need for XAI systems to address context
factors beyond their predefined scope, it points to the potential need to cocreate
new concepts that are adapted to particular explainees, and it provides a clear
overview of the XAI system’s underlying knowledge structure and interaction steps.
Emphasis is placed on mixed-initiative interaction in which the system can lead
or respond based on the context and the explainee’s reactions while asserting
the importance of maintaining coherence across consecutive explanations. These
advances aim to make XAI systems more flexible, interactive, and user-centric.
An operationalization section outlines how such social XAI systems could be implemented
based on the XAI capabilities provided by the Contextual Importance and Utility
XAI method described in the previous chapter."
author:
- first_name: Kary
full_name: Främling, Kary
last_name: Främling
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
citation:
ama: 'Främling K, Wrede B, Thommes K. Exploration of Explaining Content. In: Social
Explainable AI. Springer Nature Singapore; 2026. doi:10.1007/978-981-96-5290-7_16'
apa: Främling, K., Wrede, B., & Thommes, K. (2026). Exploration of Explaining
Content. In Social Explainable AI. Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_16
bibtex: '@inbook{Främling_Wrede_Thommes_2026, place={Singapore}, title={Exploration
of Explaining Content}, DOI={10.1007/978-981-96-5290-7_16},
booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Främling,
Kary and Wrede, Britta and Thommes, Kirsten}, year={2026} }'
chicago: 'Främling, Kary, Britta Wrede, and Kirsten Thommes. “Exploration of Explaining
Content.” In Social Explainable AI. Singapore: Springer Nature Singapore,
2026. https://doi.org/10.1007/978-981-96-5290-7_16.'
ieee: 'K. Främling, B. Wrede, and K. Thommes, “Exploration of Explaining Content,”
in Social Explainable AI, Singapore: Springer Nature Singapore, 2026.'
mla: Främling, Kary, et al. “Exploration of Explaining Content.” Social Explainable
AI, Springer Nature Singapore, 2026, doi:10.1007/978-981-96-5290-7_16.
short: 'K. Främling, B. Wrede, K. Thommes, in: Social Explainable AI, Springer Nature
Singapore, Singapore, 2026.'
date_created: 2026-03-23T08:52:18Z
date_updated: 2026-03-23T08:52:46Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-981-96-5290-7_16
language:
- iso: eng
place: Singapore
project:
- _id: '113'
name: TRR 318 - Subproject A3
- _id: '125'
name: TRR 318 - Subproject C2
publication: Social Explainable AI
publication_identifier:
isbn:
- '9789819652891'
- '9789819652907'
publication_status: published
publisher: Springer Nature Singapore
status: public
title: Exploration of Explaining Content
type: book_chapter
user_id: '72497'
year: '2026'
...
---
_id: '65087'
abstract:
- lang: eng
text: "Abstract\r\n Much research
in XAI focuses on single, one-shot interactions, implicitly assuming that interactions
have no past, no future, and no surroundings. Although this assumption may be
necessary for many empirical research settings, it is overly simplifying and unrealistic.
Whereas empirical research focuses on a world in which no social context exists,
real applications are embedded in a temporal (past and future) and social context.
Social science research shows that repeated interactions and secondhand knowledge
in the social space massively affect human attitudes and behaviors. This chapter
explains how not only repeated interactions between XAI and humans but also the
social space and secondhand information may affect social XAI research."
author:
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Kary
full_name: Främling, Kary
last_name: Främling
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
- first_name: Sylvain
full_name: Kubler, Sylvain
last_name: Kubler
citation:
ama: 'Thommes K, Främling K, Wrede B, Kubler S. Interaction History in Social XAI.
In: Social Explainable AI. Springer Nature Singapore; 2026. doi:10.1007/978-981-96-5290-7_17'
apa: Thommes, K., Främling, K., Wrede, B., & Kubler, S. (2026). Interaction
History in Social XAI. In Social Explainable AI. Springer Nature Singapore.
https://doi.org/10.1007/978-981-96-5290-7_17
bibtex: '@inbook{Thommes_Främling_Wrede_Kubler_2026, place={Singapore}, title={Interaction
History in Social XAI}, DOI={10.1007/978-981-96-5290-7_17},
booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Thommes,
Kirsten and Främling, Kary and Wrede, Britta and Kubler, Sylvain}, year={2026}
}'
chicago: 'Thommes, Kirsten, Kary Främling, Britta Wrede, and Sylvain Kubler. “Interaction
History in Social XAI.” In Social Explainable AI. Singapore: Springer Nature
Singapore, 2026. https://doi.org/10.1007/978-981-96-5290-7_17.'
ieee: 'K. Thommes, K. Främling, B. Wrede, and S. Kubler, “Interaction History in
Social XAI,” in Social Explainable AI, Singapore: Springer Nature Singapore,
2026.'
mla: Thommes, Kirsten, et al. “Interaction History in Social XAI.” Social Explainable
AI, Springer Nature Singapore, 2026, doi:10.1007/978-981-96-5290-7_17.
short: 'K. Thommes, K. Främling, B. Wrede, S. Kubler, in: Social Explainable AI,
Springer Nature Singapore, Singapore, 2026.'
date_created: 2026-03-23T08:43:50Z
date_updated: 2026-03-23T08:44:37Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-981-96-5290-7_17
language:
- iso: eng
place: Singapore
project:
- _id: '125'
name: TRR 318 - Subproject C2
- _id: '113'
name: TRR 318 - Subproject A3
publication: Social Explainable AI
publication_identifier:
isbn:
- '9789819652891'
- '9789819652907'
publication_status: published
publisher: Springer Nature Singapore
status: public
title: Interaction History in Social XAI
type: book_chapter
user_id: '72497'
year: '2026'
...
---
_id: '65089'
abstract:
- lang: eng
text: "Abstract\r\n In the past,
there has been much research aiming to evaluate XAI practices—that is, explanations
that can add to a user’s understanding of “why” or “why not.” However, because
there is such a huge amount of diversity in social contexts, optimizing for the
mean neglects the social dimensions of to whom, what, why, when, and where explanations
are provided. Nonetheless, these dimensions matter. We give some brief examples
on the accuracy of the mental model (as an example for who?), on measuring explanation
practices (as an example of what?), on human motivation (as an example of why?),
on repeated interactions (as an example of when), and on bystander effects (as
an example of where?). Importantly, controlling for these factors (or randomizing
them) is as important as attempting to perform external validations."
author:
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
citation:
ama: 'Thommes K. Evaluation Principles. In: Social Explainable AI. Springer
Nature Singapore; 2026. doi:10.1007/978-981-96-5290-7_26'
apa: Thommes, K. (2026). Evaluation Principles. In Social Explainable AI.
Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_26
bibtex: '@inbook{Thommes_2026, place={Singapore}, title={Evaluation Principles},
DOI={10.1007/978-981-96-5290-7_26},
booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Thommes,
Kirsten}, year={2026} }'
chicago: 'Thommes, Kirsten. “Evaluation Principles.” In Social Explainable AI.
Singapore: Springer Nature Singapore, 2026. https://doi.org/10.1007/978-981-96-5290-7_26.'
ieee: 'K. Thommes, “Evaluation Principles,” in Social Explainable AI, Singapore:
Springer Nature Singapore, 2026.'
mla: Thommes, Kirsten. “Evaluation Principles.” Social Explainable AI, Springer
Nature Singapore, 2026, doi:10.1007/978-981-96-5290-7_26.
short: 'K. Thommes, in: Social Explainable AI, Springer Nature Singapore, Singapore,
2026.'
date_created: 2026-03-23T08:47:10Z
date_updated: 2026-03-23T08:47:38Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-981-96-5290-7_26
language:
- iso: eng
place: Singapore
project:
- _id: '113'
name: TRR 318 - Subproject A3
- _id: '125'
name: TRR 318 - Subproject C2
publication: Social Explainable AI
publication_identifier:
isbn:
- '9789819652891'
- '9789819652907'
publication_status: published
publisher: Springer Nature Singapore
status: public
title: Evaluation Principles
type: book_chapter
user_id: '72497'
year: '2026'
...
---
_id: '61819'
author:
- first_name: Jörg
full_name: Papenkordt, Jörg
id: '44648'
last_name: Papenkordt
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
citation:
ama: Papenkordt J, Ngonga Ngomo A-C, Thommes K. Are numerical or verbal explanations
of AI the key to appropriate user reliance and error detection? Behaviour &
Information Technology. Published online 2025:1-22. doi:10.1080/0144929x.2025.2568928
apa: Papenkordt, J., Ngonga Ngomo, A.-C., & Thommes, K. (2025). Are numerical
or verbal explanations of AI the key to appropriate user reliance and error detection?
Behaviour & Information Technology, 1–22. https://doi.org/10.1080/0144929x.2025.2568928
bibtex: '@article{Papenkordt_Ngonga Ngomo_Thommes_2025, title={Are numerical or
verbal explanations of AI the key to appropriate user reliance and error detection?},
DOI={10.1080/0144929x.2025.2568928},
journal={Behaviour & Information Technology}, publisher={Informa UK Limited},
author={Papenkordt, Jörg and Ngonga Ngomo, Axel-Cyrille and Thommes, Kirsten},
year={2025}, pages={1–22} }'
chicago: Papenkordt, Jörg, Axel-Cyrille Ngonga Ngomo, and Kirsten Thommes. “Are
Numerical or Verbal Explanations of AI the Key to Appropriate User Reliance and
Error Detection?” Behaviour & Information Technology, 2025, 1–22.
https://doi.org/10.1080/0144929x.2025.2568928.
ieee: 'J. Papenkordt, A.-C. Ngonga Ngomo, and K. Thommes, “Are numerical or verbal
explanations of AI the key to appropriate user reliance and error detection?,”
Behaviour & Information Technology, pp. 1–22, 2025, doi: 10.1080/0144929x.2025.2568928.'
mla: Papenkordt, Jörg, et al. “Are Numerical or Verbal Explanations of AI the Key
to Appropriate User Reliance and Error Detection?” Behaviour & Information
Technology, Informa UK Limited, 2025, pp. 1–22, doi:10.1080/0144929x.2025.2568928.
short: J. Papenkordt, A.-C. Ngonga Ngomo, K. Thommes, Behaviour & Information
Technology (2025) 1–22.
date_created: 2025-10-13T13:33:14Z
date_updated: 2025-10-14T06:12:07Z
department:
- _id: '178'
- _id: '184'
doi: 10.1080/0144929x.2025.2568928
language:
- iso: eng
page: 1-22
project:
- _id: '113'
name: TRR 318 - Subproject A3
- _id: '810'
name: arbeitswelt + - KI für die Arbeitswelt des industriellen Mittelstands
publication: Behaviour & Information Technology
publication_identifier:
issn:
- 0144-929X
- 1362-3001
publication_status: published
publisher: Informa UK Limited
status: public
title: Are numerical or verbal explanations of AI the key to appropriate user reliance
and error detection?
type: journal_article
user_id: '72497'
year: '2025'
...
---
_id: '61877'
abstract:
- lang: eng
text: "Abstract\r\n Research indicates
that anger is a prevalent emotion in human-technology interactions, often leading
to frustration, rejection and reduced trust, significantly impacting user experience
and acceptance of technology. Particularly in high-risk or uncertain situations,
where AI explanations are intended to help users make more informed decisions,
decision-making is influenced by emotional factors, impairing understanding and
leading to suboptimal choices. While XAI research continues to evolve, greater
consideration of users’ emotions and individual characteristics remains necessary.
Broadening empirical studies in this area could foster a more comprehensive understanding
of decision-making processes following explanations, especially in relation to
the interaction between emotions and cognition. In response, this study seeks
to contribute to this area by employing an experimental design to examine the
effects of AI explanations and emotion regulation on user reliance and trust of
emotional users. The results provide a foundation for future human-centered research
in XAI, focusing on the impact of emotions and cognition in human-technology interactions."
author:
- first_name: Olesja
full_name: Lammert, Olesja
id: '47384'
last_name: Lammert
orcid: 0000-0001-8201-5166
citation:
ama: 'Lammert O. Can AI Regulate Your Emotions? An Empirical Investigation of the Influence
of AI Explanations and Emotion Regulation on Human Decision-Making Factors. In:
Communications in Computer and Information Science. Springer Nature Switzerland;
2025. doi:10.1007/978-3-032-08333-3_11'
apa: Lammert, O. (2025). Can AI Regulate Your Emotions? An Empirical Investigation
of the Influence of AI Explanations and Emotion Regulation on Human Decision-Making
Factors. In Communications in Computer and Information Science. Springer
Nature Switzerland. https://doi.org/10.1007/978-3-032-08333-3_11
bibtex: '@inbook{Lammert_2025, place={Cham}, title={Can AI Regulate Your Emotions?
An Empirical Investigation of the Influence of AI Explanations and Emotion Regulation
on Human Decision-Making Factors}, DOI={10.1007/978-3-032-08333-3_11},
booktitle={Communications in Computer and Information Science}, publisher={Springer
Nature Switzerland}, author={Lammert, Olesja}, year={2025} }'
chicago: 'Lammert, Olesja. “Can AI Regulate Your Emotions? An Empirical Investigation
of the Influence of AI Explanations and Emotion Regulation on Human Decision-Making
Factors.” In Communications in Computer and Information Science. Cham:
Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-032-08333-3_11.'
ieee: 'O. Lammert, “Can AI Regulate Your Emotions? An Empirical Investigation of the Influence
of AI Explanations and Emotion Regulation on Human Decision-Making Factors,” in
Communications in Computer and Information Science, Cham: Springer Nature
Switzerland, 2025.'
mla: Lammert, Olesja. “Can AI Regulate Your Emotions? An Empirical Investigation
of the Influence of AI Explanations and Emotion Regulation on Human Decision-Making
Factors.” Communications in Computer and Information Science, Springer
Nature Switzerland, 2025, doi:10.1007/978-3-032-08333-3_11.
short: 'O. Lammert, in: Communications in Computer and Information Science, Springer
Nature Switzerland, Cham, 2025.'
date_created: 2025-10-20T06:29:19Z
date_updated: 2025-10-20T06:29:44Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-3-032-08333-3_11
language:
- iso: eng
place: Cham
project:
- _id: '113'
name: TRR 318 - Subproject A3
publication: Communications in Computer and Information Science
publication_identifier:
isbn:
- '9783032083326'
- '9783032083333'
issn:
- 1865-0929
- 1865-0937
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Can AI Regulate Your Emotions? An Empirical Investigation of the Influence
of AI Explanations and Emotion Regulation on Human Decision-Making Factors
type: book_chapter
user_id: '72497'
year: '2025'
...
---
_id: '61156'
abstract:
- lang: eng
text: Explainability has become an important topic in computer science and artificial
intelligence, leading to a subfield called Explainable Artificial Intelligence
(XAI). The goal of providing or seeking explanations is to achieve (better) ‘understanding’
on the part of the explainee. However, what it means to ‘understand’ is still
not clearly defined, and the concept itself is rarely the subject of scientific
investigation. This conceptual article aims to present a model of forms of understanding
for XAI-explanations and beyond. From an interdisciplinary perspective bringing
together computer science, linguistics, sociology, philosophy and psychology,
a definition of understanding and its forms, assessment, and dynamics during the
process of giving everyday explanations are explored. Two types of understanding
are considered as possible outcomes of explanations, namely enabledness, ‘knowing
how’ to do or decide something, and comprehension, ‘knowing that’ – both in different
degrees (from shallow to deep). Explanations regularly start with shallow understanding
in a specific domain and can lead to deep comprehension and enabledness of the
explanandum, which we see as a prerequisite for human users to gain agency. In
this process, the increase of comprehension and enabledness are highly interdependent.
Against the background of this systematization, special challenges of understanding
in XAI are discussed.
article_number: '101419'
article_type: original
author:
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Heike M.
full_name: Buhl, Heike M.
id: '27152'
last_name: Buhl
- first_name: Friederike
full_name: Kern, Friederike
last_name: Kern
- first_name: Angela
full_name: Grimminger, Angela
id: '57578'
last_name: Grimminger
- first_name: Helen
full_name: Beierling, Helen
id: '50995'
last_name: Beierling
- first_name: Josephine Beryl
full_name: Fisher, Josephine Beryl
id: '56345'
last_name: Fisher
orcid: 0000-0002-9997-9241
- first_name: André
full_name: Groß, André
id: '93405'
last_name: Groß
orcid: 0000-0002-9593-7220
- first_name: Ilona
full_name: Horwath, Ilona
id: '68836'
last_name: Horwath
- first_name: Nils
full_name: Klowait, Nils
id: '98454'
last_name: Klowait
orcid: 0000-0002-7347-099X
- first_name: Stefan Teodorov
full_name: Lazarov, Stefan Teodorov
id: '90345'
last_name: Lazarov
orcid: 0009-0009-0892-9483
- first_name: Michael
full_name: Lenke, Michael
last_name: Lenke
- first_name: Vivien
full_name: Lohmer, Vivien
last_name: Lohmer
- first_name: Katharina
full_name: Rohlfing, Katharina
id: '50352'
last_name: Rohlfing
orcid: 0000-0002-5676-8233
- first_name: Ingrid
full_name: Scharlau, Ingrid
id: '451'
last_name: Scharlau
orcid: 0000-0003-2364-9489
- first_name: Amit
full_name: Singh, Amit
id: '91018'
last_name: Singh
orcid: 0000-0002-7789-1521
- first_name: Lutz
full_name: Terfloth, Lutz
id: '37320'
last_name: Terfloth
- first_name: Anna-Lisa
full_name: Vollmer, Anna-Lisa
id: '86589'
last_name: Vollmer
- first_name: Yu
full_name: Wang, Yu
last_name: Wang
- first_name: Annedore
full_name: Wilmes, Annedore
last_name: Wilmes
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: Buschmeier H, Buhl HM, Kern F, et al. Forms of Understanding for XAI-Explanations.
Cognitive Systems Research. 2025;94. doi:10.1016/j.cogsys.2025.101419
apa: Buschmeier, H., Buhl, H. M., Kern, F., Grimminger, A., Beierling, H., Fisher,
J. B., Groß, A., Horwath, I., Klowait, N., Lazarov, S. T., Lenke, M., Lohmer,
V., Rohlfing, K., Scharlau, I., Singh, A., Terfloth, L., Vollmer, A.-L., Wang,
Y., Wilmes, A., & Wrede, B. (2025). Forms of Understanding for XAI-Explanations.
Cognitive Systems Research, 94, Article 101419. https://doi.org/10.1016/j.cogsys.2025.101419
bibtex: '@article{Buschmeier_Buhl_Kern_Grimminger_Beierling_Fisher_Groß_Horwath_Klowait_Lazarov_et
al._2025, title={Forms of Understanding for XAI-Explanations}, volume={94}, DOI={10.1016/j.cogsys.2025.101419},
number={101419}, journal={Cognitive Systems Research}, author={Buschmeier, Hendrik
and Buhl, Heike M. and Kern, Friederike and Grimminger, Angela and Beierling,
Helen and Fisher, Josephine Beryl and Groß, André and Horwath, Ilona and Klowait,
Nils and Lazarov, Stefan Teodorov and et al.}, year={2025} }'
chicago: Buschmeier, Hendrik, Heike M. Buhl, Friederike Kern, Angela Grimminger,
Helen Beierling, Josephine Beryl Fisher, André Groß, et al. “Forms of Understanding
for XAI-Explanations.” Cognitive Systems Research 94 (2025). https://doi.org/10.1016/j.cogsys.2025.101419.
ieee: 'H. Buschmeier et al., “Forms of Understanding for XAI-Explanations,”
Cognitive Systems Research, vol. 94, Art. no. 101419, 2025, doi: 10.1016/j.cogsys.2025.101419.'
mla: Buschmeier, Hendrik, et al. “Forms of Understanding for XAI-Explanations.”
Cognitive Systems Research, vol. 94, 101419, 2025, doi:10.1016/j.cogsys.2025.101419.
short: H. Buschmeier, H.M. Buhl, F. Kern, A. Grimminger, H. Beierling, J.B. Fisher,
A. Groß, I. Horwath, N. Klowait, S.T. Lazarov, M. Lenke, V. Lohmer, K. Rohlfing,
I. Scharlau, A. Singh, L. Terfloth, A.-L. Vollmer, Y. Wang, A. Wilmes, B. Wrede,
Cognitive Systems Research 94 (2025).
date_created: 2025-09-08T14:24:32Z
date_updated: 2025-12-05T15:32:25Z
ddc:
- '006'
department:
- _id: '660'
doi: 10.1016/j.cogsys.2025.101419
file:
- access_level: closed
content_type: application/pdf
creator: hbuschme
date_created: 2025-12-01T21:02:20Z
date_updated: 2025-12-01T21:02:20Z
file_id: '62730'
file_name: Buschmeier-etal-2025-COGSYS.pdf
file_size: 10114981
relation: main_file
success: 1
file_date_updated: 2025-12-01T21:02:20Z
has_accepted_license: '1'
intvolume: ' 94'
keyword:
- understanding
- explaining
- explanations
- explainable
- AI
- interdisciplinarity
- comprehension
- enabledness
- agency
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S1389041725000993?via%3Dihub
oa: '1'
project:
- _id: '111'
name: 'TRR 318; TP A01: Adaptives Erklären'
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
- _id: '113'
name: TRR 318 - Subproject A3
- _id: '114'
name: 'TRR 318; TP A04: Integration des technischen Modells in das Partnermodell
bei der Erklärung von digitalen Artefakten'
- _id: '115'
name: 'TRR 318; TP A05: Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog'
- _id: '122'
name: TRR 318 - Subproject B3
- _id: '123'
name: TRR 318 - Subproject B5
- _id: '119'
name: TRR 318 - Project Area Ö
publication: Cognitive Systems Research
publication_status: published
quality_controlled: '1'
status: public
title: Forms of Understanding for XAI-Explanations
type: journal_article
user_id: '57578'
volume: 94
year: '2025'
...
---
_id: '52202'
author:
- first_name: Olesja
full_name: Lammert, Olesja
id: '47384'
last_name: Lammert
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
- first_name: Christian
full_name: Schütze, Christian
last_name: Schütze
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: 'Lammert O, Richter B, Schütze C, Thommes K, Wrede B. Humans in XAI: Increased
Reliance in Decision-Making Under Uncertainty by Using Explanation Strategies.
Frontiers in Behavioral Economics. Published online 2024. doi:10.3389/frbhe.2024.1377075'
apa: 'Lammert, O., Richter, B., Schütze, C., Thommes, K., & Wrede, B. (2024).
Humans in XAI: Increased Reliance in Decision-Making Under Uncertainty by Using
Explanation Strategies. Frontiers in Behavioral Economics. https://doi.org/10.3389/frbhe.2024.1377075'
bibtex: '@article{Lammert_Richter_Schütze_Thommes_Wrede_2024, title={Humans in XAI:
Increased Reliance in Decision-Making Under Uncertainty by Using Explanation Strategies},
DOI={10.3389/frbhe.2024.1377075},
journal={Frontiers in Behavioral Economics}, author={Lammert, Olesja and Richter,
Birte and Schütze, Christian and Thommes, Kirsten and Wrede, Britta}, year={2024}
}'
chicago: 'Lammert, Olesja, Birte Richter, Christian Schütze, Kirsten Thommes, and
Britta Wrede. “Humans in XAI: Increased Reliance in Decision-Making Under Uncertainty
by Using Explanation Strategies.” Frontiers in Behavioral Economics, 2024.
https://doi.org/10.3389/frbhe.2024.1377075.'
ieee: 'O. Lammert, B. Richter, C. Schütze, K. Thommes, and B. Wrede, “Humans in
XAI: Increased Reliance in Decision-Making Under Uncertainty by Using Explanation
Strategies,” Frontiers in Behavioral Economics, 2024, doi: 10.3389/frbhe.2024.1377075.'
mla: 'Lammert, Olesja, et al. “Humans in XAI: Increased Reliance in Decision-Making
Under Uncertainty by Using Explanation Strategies.” Frontiers in Behavioral
Economics, 2024, doi:10.3389/frbhe.2024.1377075.'
short: O. Lammert, B. Richter, C. Schütze, K. Thommes, B. Wrede, Frontiers in Behavioral
Economics (2024).
date_created: 2024-02-29T07:55:38Z
date_updated: 2024-02-29T07:56:01Z
department:
- _id: '178'
- _id: '184'
doi: 10.3389/frbhe.2024.1377075
language:
- iso: eng
project:
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
publication: Frontiers in Behavioral Economics
status: public
title: 'Humans in XAI: Increased Reliance in Decision-Making Under Uncertainty by
Using Explanation Strategies'
type: journal_article
user_id: '47384'
year: '2024'
...
---
_id: '55177'
author:
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Olesja
full_name: Lammert, Olesja
id: '47384'
last_name: Lammert
- first_name: Christian
full_name: Schütze, Christian
last_name: Schütze
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: 'Thommes K, Lammert O, Schütze C, Richter B, Wrede B. Human Emotions in AI
Explanations. In: Communications in Computer and Information Science. Springer
Nature Switzerland; 2024. doi:10.1007/978-3-031-63803-9_15'
apa: Thommes, K., Lammert, O., Schütze, C., Richter, B., & Wrede, B. (2024).
Human Emotions in AI Explanations. Communications in Computer and Information
Science. https://doi.org/10.1007/978-3-031-63803-9_15
bibtex: '@inproceedings{Thommes_Lammert_Schütze_Richter_Wrede_2024, place={Cham},
title={Human Emotions in AI Explanations}, DOI={10.1007/978-3-031-63803-9_15},
booktitle={Communications in Computer and Information Science}, publisher={Springer
Nature Switzerland}, author={Thommes, Kirsten and Lammert, Olesja and Schütze,
Christian and Richter, Birte and Wrede, Britta}, year={2024} }'
chicago: 'Thommes, Kirsten, Olesja Lammert, Christian Schütze, Birte Richter, and
Britta Wrede. “Human Emotions in AI Explanations.” In Communications in Computer
and Information Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-63803-9_15.'
ieee: 'K. Thommes, O. Lammert, C. Schütze, B. Richter, and B. Wrede, “Human Emotions
in AI Explanations,” 2024, doi: 10.1007/978-3-031-63803-9_15.'
mla: Thommes, Kirsten, et al. “Human Emotions in AI Explanations.” Communications
in Computer and Information Science, Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-63803-9_15.
short: 'K. Thommes, O. Lammert, C. Schütze, B. Richter, B. Wrede, in: Communications
in Computer and Information Science, Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-07-11T09:11:44Z
date_updated: 2024-07-25T09:29:35Z
department:
- _id: '19'
- _id: '184'
doi: 10.1007/978-3-031-63803-9_15
language:
- iso: eng
place: Cham
project:
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
publication: Communications in Computer and Information Science
publication_identifier:
isbn:
- '9783031638022'
- '9783031638039'
issn:
- 1865-0929
- 1865-0937
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Human Emotions in AI Explanations
type: conference
user_id: '47384'
year: '2024'
...
---
_id: '57250'
author:
- first_name: Christian
full_name: Schütze, Christian
last_name: Schütze
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
- first_name: Olesja
full_name: Lammert, Olesja
id: '47384'
last_name: Lammert
orcid: 0000-0001-8201-5166
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: 'Schütze C, Richter B, Lammert O, Thommes K, Wrede B. Static Socio-demographic
and Individual Factors for Generating Explanations in XAI: Can they serve as a
prior in DSS for adaptation of explanation strategies? In: HAI ’24: Proceedings
of the 12th International Conference on Human-Agent Interaction. ACM; 2024:141-149.
doi:10.1145/3687272.3688300'
apa: 'Schütze, C., Richter, B., Lammert, O., Thommes, K., & Wrede, B. (2024).
Static Socio-demographic and Individual Factors for Generating Explanations in
XAI: Can they serve as a prior in DSS for adaptation of explanation strategies?
HAI ’24: Proceedings of the 12th International Conference on Human-Agent Interaction,
141–149. https://doi.org/10.1145/3687272.3688300'
bibtex: '@inproceedings{Schütze_Richter_Lammert_Thommes_Wrede_2024, title={Static
Socio-demographic and Individual Factors for Generating Explanations in XAI: Can
they serve as a prior in DSS for adaptation of explanation strategies?}, DOI={10.1145/3687272.3688300}, booktitle={HAI
’24: Proceedings of the 12th International Conference on Human-Agent Interaction},
publisher={ACM}, author={Schütze, Christian and Richter, Birte and Lammert, Olesja
and Thommes, Kirsten and Wrede, Britta}, year={2024}, pages={141–149} }'
chicago: 'Schütze, Christian, Birte Richter, Olesja Lammert, Kirsten Thommes, and
Britta Wrede. “Static Socio-Demographic and Individual Factors for Generating
Explanations in XAI: Can They Serve as a Prior in DSS for Adaptation of Explanation
Strategies?” In HAI ’24: Proceedings of the 12th International Conference on
Human-Agent Interaction, 141–49. ACM, 2024. https://doi.org/10.1145/3687272.3688300.'
ieee: 'C. Schütze, B. Richter, O. Lammert, K. Thommes, and B. Wrede, “Static Socio-demographic
and Individual Factors for Generating Explanations in XAI: Can they serve as a
prior in DSS for adaptation of explanation strategies?,” in HAI ’24: Proceedings
of the 12th International Conference on Human-Agent Interaction, 2024, pp.
141–149, doi: 10.1145/3687272.3688300.'
mla: 'Schütze, Christian, et al. “Static Socio-Demographic and Individual Factors
for Generating Explanations in XAI: Can They Serve as a Prior in DSS for Adaptation
of Explanation Strategies?” HAI ’24: Proceedings of the 12th International
Conference on Human-Agent Interaction, ACM, 2024, pp. 141–49, doi:10.1145/3687272.3688300.'
short: 'C. Schütze, B. Richter, O. Lammert, K. Thommes, B. Wrede, in: HAI ’24: Proceedings
of the 12th International Conference on Human-Agent Interaction, ACM, 2024, pp.
141–149.'
date_created: 2024-11-20T07:30:01Z
date_updated: 2024-11-20T09:42:20Z
department:
- _id: '178'
- _id: '184'
doi: 10.1145/3687272.3688300
language:
- iso: eng
page: 141-149
project:
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
publication: 'HAI ''24: Proceedings of the 12th International Conference on Human-Agent
Interaction'
publication_identifier:
isbn:
- '9798400711787'
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: 'Static Socio-demographic and Individual Factors for Generating Explanations
in XAI: Can they serve as a prior in DSS for adaptation of explanation strategies?'
type: conference
user_id: '72497'
year: '2024'
...
---
_id: '55178'
author:
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Olesja
full_name: Lammert, Olesja
id: '47384'
last_name: Lammert
orcid: 0000-0001-8201-5166
- first_name: Christian
full_name: Schütze, Christian
last_name: Schütze
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: 'Thommes K, Lammert O, Schütze C, Richter B, Wrede B. Human Emotions in AI
Explanations. In: ; 2024.'
apa: Thommes, K., Lammert, O., Schütze, C., Richter, B., & Wrede, B. (2024).
Human Emotions in AI Explanations.
bibtex: '@inproceedings{Thommes_Lammert_Schütze_Richter_Wrede_2024, title={Human
Emotions in AI Explanations}, author={Thommes, Kirsten and Lammert, Olesja and
Schütze, Christian and Richter, Birte and Wrede, Britta}, year={2024} }'
chicago: Thommes, Kirsten, Olesja Lammert, Christian Schütze, Birte Richter, and
Britta Wrede. “Human Emotions in AI Explanations,” 2024.
ieee: K. Thommes, O. Lammert, C. Schütze, B. Richter, and B. Wrede, “Human Emotions
in AI Explanations,” 2024.
mla: Thommes, Kirsten, et al. Human Emotions in AI Explanations. 2024.
short: 'K. Thommes, O. Lammert, C. Schütze, B. Richter, B. Wrede, in: 2024.'
date_created: 2024-07-11T09:16:01Z
date_updated: 2024-11-20T09:44:49Z
department:
- _id: '19'
- _id: '184'
language:
- iso: eng
project:
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
status: public
title: Human Emotions in AI Explanations
type: conference
user_id: '47384'
year: '2024'
...
---
_id: '55403'
abstract:
- lang: eng
text: In this paper we consider the interactive processes by which an explainer
and an explainee cooperate to produce an explanation, which we refer to as co-construction.
Explainable Artificial Intelligence (XAI) is concerned with the development of
intelligent systems and robots that can explain and justify their actions, decisions,
recommendations, and so on. However, the cooperative construction of explanations
remains a key but under-explored issue. This short paper proposes an architecture
for intelligent systems that promotes a co-constructive and interactive approach
to explanation generation. By outlining its basic components and their specific
roles, we aim to contribute to the advancement of XAI computational frameworks
that actively engage users in the explanation process.
author:
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
- first_name: Jaroslaw
full_name: Kornowicz, Jaroslaw
id: '44029'
last_name: Kornowicz
orcid: 0000-0002-5654-9911
- first_name: Olesja
full_name: Lammert, Olesja
id: '47384'
last_name: Lammert
orcid: 0000-0001-8201-5166
- first_name: Marco
full_name: Matarese, Marco
last_name: Matarese
- first_name: Dimitry
full_name: Mindlin, Dimitry
last_name: Mindlin
- first_name: Amelie Sophie
full_name: Robrecht, Amelie Sophie
last_name: Robrecht
- first_name: Anna-Lisa
full_name: Vollmer, Anna-Lisa
id: '86589'
last_name: Vollmer
- first_name: Petra
full_name: Wagner, Petra
id: '74505'
last_name: Wagner
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
- first_name: Meisam
full_name: Booshehri, Meisam
id: '93424'
last_name: Booshehri
citation:
ama: 'Buschmeier H, Cimiano P, Kopp S, et al. Towards a Computational Architecture
for Co-Constructive Explainable Systems. In: Proceedings of the 2024 Workshop
on Explainability Engineering. ACM; 2024:20-25. doi:10.1145/3648505.3648509'
apa: Buschmeier, H., Cimiano, P., Kopp, S., Kornowicz, J., Lammert, O., Matarese,
M., Mindlin, D., Robrecht, A. S., Vollmer, A.-L., Wagner, P., Wrede, B., &
Booshehri, M. (2024). Towards a Computational Architecture for Co-Constructive
Explainable Systems. Proceedings of the 2024 Workshop on Explainability Engineering,
20–25. https://doi.org/10.1145/3648505.3648509
bibtex: '@inproceedings{Buschmeier_Cimiano_Kopp_Kornowicz_Lammert_Matarese_Mindlin_Robrecht_Vollmer_Wagner_et
al._2024, title={Towards a Computational Architecture for Co-Constructive Explainable
Systems}, DOI={10.1145/3648505.3648509},
booktitle={Proceedings of the 2024 Workshop on Explainability Engineering}, publisher={ACM},
author={Buschmeier, Hendrik and Cimiano, Philipp and Kopp, Stefan and Kornowicz,
Jaroslaw and Lammert, Olesja and Matarese, Marco and Mindlin, Dimitry and Robrecht,
Amelie Sophie and Vollmer, Anna-Lisa and Wagner, Petra and et al.}, year={2024},
pages={20–25} }'
chicago: Buschmeier, Hendrik, Philipp Cimiano, Stefan Kopp, Jaroslaw Kornowicz,
Olesja Lammert, Marco Matarese, Dimitry Mindlin, et al. “Towards a Computational
Architecture for Co-Constructive Explainable Systems.” In Proceedings of the
2024 Workshop on Explainability Engineering, 20–25. ACM, 2024. https://doi.org/10.1145/3648505.3648509.
ieee: 'H. Buschmeier et al., “Towards a Computational Architecture for Co-Constructive
Explainable Systems,” in Proceedings of the 2024 Workshop on Explainability
Engineering, Lisbon, Portugal, 2024, pp. 20–25, doi: 10.1145/3648505.3648509.'
mla: Buschmeier, Hendrik, et al. “Towards a Computational Architecture for Co-Constructive
Explainable Systems.” Proceedings of the 2024 Workshop on Explainability Engineering,
ACM, 2024, pp. 20–25, doi:10.1145/3648505.3648509.
short: 'H. Buschmeier, P. Cimiano, S. Kopp, J. Kornowicz, O. Lammert, M. Matarese,
D. Mindlin, A.S. Robrecht, A.-L. Vollmer, P. Wagner, B. Wrede, M. Booshehri, in:
Proceedings of the 2024 Workshop on Explainability Engineering, ACM, 2024, pp.
20–25.'
conference:
location: Lisbon, Portugal
name: 2024 Workshop on Explainability Engineering
date_created: 2024-07-26T11:57:31Z
date_updated: 2025-03-14T19:24:35Z
department:
- _id: '184'
- _id: '178'
- _id: '660'
doi: 10.1145/3648505.3648509
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 20-25
project:
- _id: '125'
name: 'TRR 318 - C2: TRR 318 - Subproject C2'
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
- _id: '112'
grant_number: '438445824'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 2024 Workshop on Explainability Engineering
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: Towards a Computational Architecture for Co-Constructive Explainable Systems
type: conference
user_id: '44029'
year: '2024'
...
---
_id: '48285'
author:
- first_name: Anastasia
full_name: Lebedeva, Anastasia
last_name: Lebedeva
- first_name: Jaroslaw
full_name: Kornowicz, Jaroslaw
id: '44029'
last_name: Kornowicz
- first_name: Olesja
full_name: Lammert, Olesja
id: '47384'
last_name: Lammert
- first_name: Jörg
full_name: Papenkordt, Jörg
id: '44648'
last_name: Papenkordt
citation:
ama: 'Lebedeva A, Kornowicz J, Lammert O, Papenkordt J. The Role of Response Time
for Algorithm Aversion in Fast and Slow Thinking Tasks. In: Artificial Intelligence
in HCI. Artificial Intelligence in HCI. ; 2023. doi:10.1007/978-3-031-35891-3_9'
apa: Lebedeva, A., Kornowicz, J., Lammert, O., & Papenkordt, J. (2023). The
Role of Response Time for Algorithm Aversion in Fast and Slow Thinking Tasks.
Artificial Intelligence in HCI. https://doi.org/10.1007/978-3-031-35891-3_9
bibtex: '@inproceedings{Lebedeva_Kornowicz_Lammert_Papenkordt_2023, series={Artificial
Intelligence in HCI}, title={The Role of Response Time for Algorithm Aversion
in Fast and Slow Thinking Tasks}, DOI={10.1007/978-3-031-35891-3_9},
booktitle={Artificial Intelligence in HCI}, author={Lebedeva, Anastasia and Kornowicz,
Jaroslaw and Lammert, Olesja and Papenkordt, Jörg}, year={2023}, collection={Artificial
Intelligence in HCI} }'
chicago: Lebedeva, Anastasia, Jaroslaw Kornowicz, Olesja Lammert, and Jörg Papenkordt.
“The Role of Response Time for Algorithm Aversion in Fast and Slow Thinking Tasks.”
In Artificial Intelligence in HCI. Artificial Intelligence in HCI, 2023.
https://doi.org/10.1007/978-3-031-35891-3_9.
ieee: 'A. Lebedeva, J. Kornowicz, O. Lammert, and J. Papenkordt, “The Role of Response
Time for Algorithm Aversion in Fast and Slow Thinking Tasks,” 2023, doi: 10.1007/978-3-031-35891-3_9.'
mla: Lebedeva, Anastasia, et al. “The Role of Response Time for Algorithm Aversion
in Fast and Slow Thinking Tasks.” Artificial Intelligence in HCI, 2023,
doi:10.1007/978-3-031-35891-3_9.
short: 'A. Lebedeva, J. Kornowicz, O. Lammert, J. Papenkordt, in: Artificial Intelligence
in HCI, 2023.'
date_created: 2023-10-19T07:53:23Z
date_updated: 2023-11-23T08:06:17Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-3-031-35891-3_9
language:
- iso: eng
project:
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
- _id: '125'
name: 'TRR 318 - C2: TRR 318 - Subproject C2'
- _id: '409'
grant_number: 02L19C115
name: 'KIAM: KIAM: Kompetenzzentrum KI in der Arbeitswelt des industriellen Mittelstands
in OstWestfalenLippe'
publication: Artificial Intelligence in HCI
series_title: Artificial Intelligence in HCI
status: public
title: The Role of Response Time for Algorithm Aversion in Fast and Slow Thinking
Tasks
type: conference
user_id: '44648'
year: '2023'
...
---
_id: '49516'
abstract:
- lang: eng
text: In this article, we present RISE—a Robotics
Integration and Scenario-Management
Extensible-Architecture—for designing human–robot dialogs
and conducting Human–Robot Interaction (HRI) studies.
In current HRI research, interdisciplinarity in the creation and implementation
of interaction studies is becoming increasingly important. In addition, there
is a lack of reproducibility of the research results. With the presented open-source
architecture, we aim to address these two topics. Therefore, we discuss the advantages
and disadvantages of various existing tools from different sub-fields within robotics.
Requirements for an architecture can be derived from this overview of the literature,
which 1) supports interdisciplinary research, 2) allows reproducibility of the
research, and 3) is accessible to other researchers in the field of HRI. With
our architecture, we tackle these requirements by providing a Graphical
User Interface which explains the robot behavior and allows introspection
into the current state of the dialog. Additionally, it offers controlling possibilities
to easily conduct Wizard of Oz studies. To achieve
transparency, the dialog is modeled explicitly, and the robot behavior can be
configured. Furthermore, the modular architecture offers an interface for external
features and sensors and is expandable to new robots and modalities.
article_type: original
author:
- first_name: André
full_name: Groß, André
last_name: Groß
- first_name: Christian
full_name: Schütze, Christian
last_name: Schütze
- first_name: Mara
full_name: Brandt, Mara
last_name: Brandt
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
citation:
ama: 'Groß A, Schütze C, Brandt M, Wrede B, Richter B. RISE: an open-source architecture
for interdisciplinary and reproducible human–robot interaction research. Frontiers
in Robotics and AI. 2023;10. doi:10.3389/frobt.2023.1245501'
apa: 'Groß, A., Schütze, C., Brandt, M., Wrede, B., & Richter, B. (2023). RISE:
an open-source architecture for interdisciplinary and reproducible human–robot
interaction research. Frontiers in Robotics and AI, 10. https://doi.org/10.3389/frobt.2023.1245501'
bibtex: '@article{Groß_Schütze_Brandt_Wrede_Richter_2023, title={RISE: an open-source
architecture for interdisciplinary and reproducible human–robot interaction research},
volume={10}, DOI={10.3389/frobt.2023.1245501},
journal={Frontiers in Robotics and AI}, publisher={Frontiers Media SA}, author={Groß,
André and Schütze, Christian and Brandt, Mara and Wrede, Britta and Richter, Birte},
year={2023} }'
chicago: 'Groß, André, Christian Schütze, Mara Brandt, Britta Wrede, and Birte Richter.
“RISE: An Open-Source Architecture for Interdisciplinary and Reproducible Human–Robot
Interaction Research.” Frontiers in Robotics and AI 10 (2023). https://doi.org/10.3389/frobt.2023.1245501.'
ieee: 'A. Groß, C. Schütze, M. Brandt, B. Wrede, and B. Richter, “RISE: an open-source
architecture for interdisciplinary and reproducible human–robot interaction research,”
Frontiers in Robotics and AI, vol. 10, 2023, doi: 10.3389/frobt.2023.1245501.'
mla: 'Groß, André, et al. “RISE: An Open-Source Architecture for Interdisciplinary
and Reproducible Human–Robot Interaction Research.” Frontiers in Robotics and
AI, vol. 10, Frontiers Media SA, 2023, doi:10.3389/frobt.2023.1245501.'
short: A. Groß, C. Schütze, M. Brandt, B. Wrede, B. Richter, Frontiers in Robotics
and AI 10 (2023).
date_created: 2023-12-07T09:17:09Z
date_updated: 2023-12-07T12:09:41Z
ddc:
- '000'
doi: 10.3389/frobt.2023.1245501
file:
- access_level: closed
content_type: application/pdf
creator: angross
date_created: 2023-12-07T09:18:55Z
date_updated: 2023-12-07T09:18:55Z
file_id: '49517'
file_name: frobt-10-1245501.pdf
file_size: 40679118
relation: main_file
success: 1
file_date_updated: 2023-12-07T09:18:55Z
has_accepted_license: '1'
intvolume: ' 10'
keyword:
- Artificial Intelligence
- Computer Science Applications
language:
- iso: eng
project:
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
- _id: '115'
grant_number: '438445824'
name: 'TRR 318 - A05: TRR 318 - Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog
(Teilprojekt A05)'
publication: Frontiers in Robotics and AI
publication_identifier:
issn:
- 2296-9144
publication_status: published
publisher: Frontiers Media SA
status: public
title: 'RISE: an open-source architecture for interdisciplinary and reproducible human–robot
interaction research'
type: journal_article
user_id: '93405'
volume: 10
year: '2023'
...
---
_id: '51371'
abstract:
- lang: eng
text: In this paper, we investigate the effect of distractions and hesitations
as a scaffolding strategy. Recent research points to the potential beneficial
effects of a speaker’s hesitations on the listeners’ comprehension of utterances,
although results from studies on this issue indicate that humans do not make strategic
use of them. The role of hesitations and their communicative function in human-human
interaction is a much-discussed topic in current research. To better understand
the underlying cognitive processes, we developed a human–robot interaction (HRI)
setup that allows the measurement of the electroencephalogram (EEG) signals of
a human participant while interacting with a robot. We thereby address the research
question of whether we find effects on single-trial EEG based on the distraction
and the corresponding robot’s hesitation scaffolding strategy. To carry out the
experiments, we leverage our LabLinking method, which enables interdisciplinary
joint research between remote labs. This study could not have been conducted without
LabLinking, as the two involved labs needed to combine their individual expertise
and equipment to achieve the goal together. The results of our study indicate
that the EEG correlates in the distracted condition are different from the baseline
condition without distractions. Furthermore, we could differentiate the EEG correlates
of distraction with and without a hesitation scaffolding strategy. This proof-of-concept
study shows that LabLinking makes it possible to conduct collaborative HRI studies
in remote laboratories and lays the first foundation for more in-depth research
into robotic scaffolding strategies.
article_number: '37'
author:
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
- first_name: Felix
full_name: Putze, Felix
last_name: Putze
- first_name: Gabriel
full_name: Ivucic, Gabriel
last_name: Ivucic
- first_name: Mara
full_name: Brandt, Mara
last_name: Brandt
- first_name: Christian
full_name: Schütze, Christian
last_name: Schütze
- first_name: Rafael
full_name: Reisenhofer, Rafael
last_name: Reisenhofer
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
- first_name: Tanja
full_name: Schultz, Tanja
last_name: Schultz
citation:
ama: 'Richter B, Putze F, Ivucic G, et al. EEG Correlates of Distractions and Hesitations
in Human–Robot Interaction: A LabLinking Pilot Study. Multimodal Technologies
and Interaction. 2023;7(4). doi:10.3390/mti7040037'
apa: 'Richter, B., Putze, F., Ivucic, G., Brandt, M., Schütze, C., Reisenhofer,
R., Wrede, B., & Schultz, T. (2023). EEG Correlates of Distractions and Hesitations
in Human–Robot Interaction: A LabLinking Pilot Study. Multimodal Technologies
and Interaction, 7(4), Article 37. https://doi.org/10.3390/mti7040037'
bibtex: '@article{Richter_Putze_Ivucic_Brandt_Schütze_Reisenhofer_Wrede_Schultz_2023,
title={EEG Correlates of Distractions and Hesitations in Human–Robot Interaction:
A LabLinking Pilot Study}, volume={7}, DOI={10.3390/mti7040037},
number={437}, journal={Multimodal Technologies and Interaction}, publisher={MDPI
AG}, author={Richter, Birte and Putze, Felix and Ivucic, Gabriel and Brandt, Mara
and Schütze, Christian and Reisenhofer, Rafael and Wrede, Britta and Schultz,
Tanja}, year={2023} }'
chicago: 'Richter, Birte, Felix Putze, Gabriel Ivucic, Mara Brandt, Christian Schütze,
Rafael Reisenhofer, Britta Wrede, and Tanja Schultz. “EEG Correlates of Distractions
and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study.” Multimodal
Technologies and Interaction 7, no. 4 (2023). https://doi.org/10.3390/mti7040037.'
ieee: 'B. Richter et al., “EEG Correlates of Distractions and Hesitations
in Human–Robot Interaction: A LabLinking Pilot Study,” Multimodal Technologies
and Interaction, vol. 7, no. 4, Art. no. 37, 2023, doi: 10.3390/mti7040037.'
mla: 'Richter, Birte, et al. “EEG Correlates of Distractions and Hesitations in
Human–Robot Interaction: A LabLinking Pilot Study.” Multimodal Technologies
and Interaction, vol. 7, no. 4, 37, MDPI AG, 2023, doi:10.3390/mti7040037.'
short: B. Richter, F. Putze, G. Ivucic, M. Brandt, C. Schütze, R. Reisenhofer, B.
Wrede, T. Schultz, Multimodal Technologies and Interaction 7 (2023).
date_created: 2024-02-18T10:45:53Z
date_updated: 2024-02-26T08:44:32Z
department:
- _id: '660'
doi: 10.3390/mti7040037
intvolume: ' 7'
issue: '4'
keyword:
- Computer Networks and Communications
- Computer Science Applications
- Human-Computer Interaction
- Neuroscience (miscellaneous)
language:
- iso: eng
project:
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
- _id: '115'
grant_number: '438445824'
name: 'TRR 318 - A05: TRR 318 - Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog
(Teilprojekt A05)'
publication: Multimodal Technologies and Interaction
publication_identifier:
issn:
- 2414-4088
publication_status: published
publisher: MDPI AG
status: public
title: 'EEG Correlates of Distractions and Hesitations in Human–Robot Interaction:
A LabLinking Pilot Study'
type: journal_article
user_id: '54779'
volume: 7
year: '2023'
...
---
_id: '48280'
author:
- first_name: Christian
full_name: Schütze, Christian
last_name: Schütze
- first_name: Olesja
full_name: Lammert, Olesja
id: '47384'
last_name: Lammert
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: 'Schütze C, Lammert O, Richter B, Thommes K, Wrede B. Emotional Debiasing Explanations
for Decisions in HCI. In: Artificial Intelligence in HCI. ; 2023. doi:10.1007/978-3-031-35891-3_20'
apa: Schütze, C., Lammert, O., Richter, B., Thommes, K., & Wrede, B. (2023).
Emotional Debiasing Explanations for Decisions in HCI. Artificial Intelligence
in HCI. https://doi.org/10.1007/978-3-031-35891-3_20
bibtex: '@inproceedings{Schütze_Lammert_Richter_Thommes_Wrede_2023, title={Emotional
Debiasing Explanations for Decisions in HCI}, DOI={10.1007/978-3-031-35891-3_20},
booktitle={Artificial Intelligence in HCI}, author={Schütze, Christian and Lammert,
Olesja and Richter, Birte and Thommes, Kirsten and Wrede, Britta}, year={2023}
}'
chicago: Schütze, Christian, Olesja Lammert, Birte Richter, Kirsten Thommes, and
Britta Wrede. “Emotional Debiasing Explanations for Decisions in HCI.” In Artificial
Intelligence in HCI, 2023. https://doi.org/10.1007/978-3-031-35891-3_20.
ieee: 'C. Schütze, O. Lammert, B. Richter, K. Thommes, and B. Wrede, “Emotional
Debiasing Explanations for Decisions in HCI,” 2023, doi: 10.1007/978-3-031-35891-3_20.'
mla: Schütze, Christian, et al. “Emotional Debiasing Explanations for Decisions
in HCI.” Artificial Intelligence in HCI, 2023, doi:10.1007/978-3-031-35891-3_20.
short: 'C. Schütze, O. Lammert, B. Richter, K. Thommes, B. Wrede, in: Artificial
Intelligence in HCI, 2023.'
date_created: 2023-10-19T07:42:33Z
date_updated: 2024-07-11T09:21:15Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-3-031-35891-3_20
language:
- iso: eng
project:
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
publication: Artificial Intelligence in HCI
status: public
title: Emotional Debiasing Explanations for Decisions in HCI
type: conference
user_id: '47384'
year: '2023'
...
---
_id: '51348'
abstract:
- lang: eng
text: AbstractWith the perspective on applications
of AI-technology, especially data intensive deep learning approaches, the need
for methods to control and understand such models has been recognized and gave
rise to a new research domain labeled explainable artificial intelligence (XAI).
In this overview paper we give an interim appraisal of what has been achieved
so far and where there are still gaps in the research. We take an interdisciplinary
perspective to identify challenges on XAI research and point to open questions
with respect to the quality of the explanations regarding faithfulness and consistency
of explanations. On the other hand we see a need regarding the interaction between
XAI and user to allow for adaptability to specific information needs and explanatory
dialog for informed decision making as well as the possibility to correct models
and explanations by interaction. This endeavor requires an integrated interdisciplinary
perspective and rigorous approaches to empirical evaluation based on psychological,
linguistic and even sociological theories.
alternative_title:
- An Interdisciplinary Perspective
author:
- first_name: Ute
full_name: Schmid, Ute
last_name: Schmid
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: Schmid U, Wrede B. What is Missing in XAI So Far? KI - Künstliche Intelligenz.
2022;36(3-4):303-315. doi:10.1007/s13218-022-00786-2
apa: Schmid, U., & Wrede, B. (2022). What is Missing in XAI So Far? KI -
Künstliche Intelligenz, 36(3–4), 303–315. https://doi.org/10.1007/s13218-022-00786-2
bibtex: '@article{Schmid_Wrede_2022, title={What is Missing in XAI So Far?}, volume={36},
DOI={10.1007/s13218-022-00786-2},
number={3–4}, journal={KI - Künstliche Intelligenz}, publisher={Springer Science
and Business Media LLC}, author={Schmid, Ute and Wrede, Britta}, year={2022},
pages={303–315} }'
chicago: 'Schmid, Ute, and Britta Wrede. “What Is Missing in XAI So Far?” KI
- Künstliche Intelligenz 36, no. 3–4 (2022): 303–15. https://doi.org/10.1007/s13218-022-00786-2.'
ieee: 'U. Schmid and B. Wrede, “What is Missing in XAI So Far?,” KI - Künstliche
Intelligenz, vol. 36, no. 3–4, pp. 303–315, 2022, doi: 10.1007/s13218-022-00786-2.'
mla: Schmid, Ute, and Britta Wrede. “What Is Missing in XAI So Far?” KI - Künstliche
Intelligenz, vol. 36, no. 3–4, Springer Science and Business Media LLC, 2022,
pp. 303–15, doi:10.1007/s13218-022-00786-2.
short: U. Schmid, B. Wrede, KI - Künstliche Intelligenz 36 (2022) 303–315.
date_created: 2024-02-14T09:41:56Z
date_updated: 2024-02-26T08:48:49Z
department:
- _id: '660'
doi: 10.1007/s13218-022-00786-2
intvolume: ' 36'
issue: 3-4
keyword:
- Artificial Intelligence
language:
- iso: eng
page: 303-315
project:
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
- _id: '115'
grant_number: '438445824'
name: 'TRR 318 - A05: TRR 318 - Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog
(Teilprojekt A05)'
publication: KI - Künstliche Intelligenz
publication_identifier:
issn:
- 0933-1875
- 1610-1987
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: What is Missing in XAI So Far?
type: journal_article
user_id: '54779'
volume: 36
year: '2022'
...